Introduction When an IT team first contemplates reducing on-premises hardware they manage to support their workloads they often feel a tension between wanting to use cloud-native services versus taking a lift-and-shift approach. Cloud native services based on serverless designs could reduce costs and enable a solution that is easier to operate, but appears to be disruptive to end user processes and tools. A lift-and-shift migration, though it can eliminate on-premises hardware and maintain existing workflows, doesn’t eliminate the need to manage a server infrastructure, does nothing to improve a team’s agility in releasing enhancements after migration to the cloud, and may not optimize the cost
In this episode of This is My Architecture, filmed in 2018 on the last day of re:Invent (a learning conference hosted by Amazon Web Services for the global cloud computing community), FICO lead Software Engineer Sven Ahlfeld talks to AWS Solutions Architect Tom Jones about how the company uses a combination of AWS Lambda and AWS Step Functions to architect an on-demand solution for fraud detection and anti-money laundering. When you think of FICO, you probably thing credit score. And that’s true: founded in 1956, FICO introduced analytic solutions–such as credit scoring–that have made credit more widely available in the US and around the world.
A key component of enterprise multi-account environments is logging. Centralized logging provides a single point of access to all salient logs generated across accounts and regions, and is critical for auditing, security and compliance. While some customers use the built-in ability to push Amazon CloudWatch Logs directly into Amazon Elasticsearch Service for analysis, others would prefer to move all logs into a centralized Amazon Simple Storage Service (Amazon S3) bucket location for access by several custom and third-party tools. In this blog post, I will show you how to forward existing and any new CloudWatch Logs log groups created in the future to a cross-account